Methods and Systems for Statistically Analyzing Electrograms for Local Abnormal Ventricular Activities and Mapping the Same

A method of analyzing a cardiac electrogram for local abnormal ventricular activity (LAVA) in an electroanatomical mapping system, the method comprising the electroanatomical mapping system:

• transforming the cardiac electrogram into the wavelet domain, thereby computing a scalogram;
• computing a one-dimensional LAVA function of the scalogram;
• detecting one or more peaks in the LAVA function;
• computing a peak-to-peak amplitude of the electrogram signal, and, if the peak-to-peak amplitude does not exceed a preset amplitude threshold, computing at least one of:
• a LAVA lateness parameter for the electrogram signal using one of the one or more peaks detected in the LAVA function;
• and
• a LAVA probability parameter for the electrogram signal.

An electroanatomical mapping system configured to analyze an electrogram signal for local abnormal ventricular activity (LAVA), the electroanatomical mapping system comprising:

• a LAVA analysis processor configured to:
• transform the electrogram signal into the wavelet domain, thereby computing a scalogram;
• compute a one-dimensional LAVA function of the scalogram;
• detect one or more peaks in the LAVA function;
• and
• compute one or more of a LAVA lateness parameter for the electrogram signal using one of the one or more peaks detected in the LAVA function and a LAVA probability parameter for the electrogram signal.